Solution
In this initial phase, we embarked on an exploratory journey to comprehend the current state of affairs regarding end–users, technology, and business processes. We defined problem statements, identified bottlenecks in the technical landscape, and explored potential solutions that align with the principles of Data Mesh and ECP‘s operational strategy. This work laid the groundwork for an expansive effort to transform ECP‘s data architecture and operations towards a more scalable, decentralized, and self–organizing paradigm.
Method
Our approach consisted of technical sessions, end–user sessions, Problem Statement Canvases, and Use Case Canvases. The Discovery Sprint allowed us to design the “as–is“ architectural overviews, define architectural bottlenecks, and establish a connection between Data Mesh theory and ECP‘s practice.
Results
Our collaboration with ECP led to the definition of concrete steps toward a successful Data Mesh transformation. We proposed tech, process, and people initiatives. Tech initiatives included modernizing Data Architecture, creating a Data Catalog, and setting up Row Level Security in their reporting environment. The process initiatives consisted of developing Data Products, putting Domain Users in the Driver‘s Seat, and standardizing the Data Product Lifecycle. People initiatives involved setting up Multidisciplinary Teams and forming a Central Governance Team.
In conclusion — Our approach at Eurocommercial Properties demonstrates how implementing data mesh principles can overcome scalability constraints, siloed data, ineffective processes, and limited flexibility. Our data–driven solution, incorporating tech, process, and people initiatives, has set the stage for a scalable, decentralized, and self–organizing paradigm that addresses ECP‘s growing need for reporting and insights. This transformation highlights the power of effective data governance in driving organizational efficiency and value generation in the retail real estate sector.
